Senior/Staff Software Engineer, Forward Deployed

As a Forward Deployed Engineer on Serverless, you will work directly with enterprise customers to help them deploy, scale, and operationalize their AI workloads on fal. This is a highly technical, customer-facing role where you’ll act as the bridge between Sales, Product and Infrastructure teams. You’ll join customer calls, deeply understand their architecture and needs, and translate those into actionable implementation plans and product requirements. You will be responsible for unblocking customer deployments, accelerating onboarding, and ensuring enterprise accounts successfully reach production fast. This is a role for someone who loves solving real-world engineering problems and wants direct ownership over outcomes that drive revenue and product growth.

What you’ll do:

Join enterprise onboarding calls and act as the technical owner for deployments

Help customers integrate their models into fal Serverless (APIs, scaling, observability, deployment workflows)

Debug customer issues end-to-end across frontend, backend, and infra layers

Translate customer feedback into clear product specs, tasks, and engineering priorities

Work closely with Product + Infra to ensure enterprise needs are shipped into the platform

Build custom proofs-of-concept or lightweight integrations to unblock adoption

Identify repeatable patterns across customers and turn them into reusable product features

Improve internal tooling, onboarding flows, and docs based on real customer pain points

Qualifications/Nice-to-haves:

5+ years of engineering background (Proficiency with TypeScript, Python, Postgres, and Next.js)

Experience working with customers in a technical capacity (Solutions Engineer, Forward Deployed Engineer, DevRel Engineer, or similar)

Comfortable jumping into ambiguous customer problems and finding solutions fast

Ability to understand complex systems and communicate clearly with both technical and non-technical stakeholders

Strong written communication skills (turning customer conversations into actionable specs/tasks)

Experience working across APIs, infrastructure, and cloud environments

High ownership mentality: you take responsibility for customer success end-to-end Comfort operating in a fast-moving, low-process environment

Experience with serverless platforms, infra products, or developer platforms

Familiarity with observability tooling (logs, metrics, tracing)

Background in distributed systems, Kubernetes, or cloud-native deployment

Experience with AI/ML workloads in production

Experience in generative AI inference, training and compute space strongly preferred

Experience writing documentation, onboarding guides, or customer playbooks

What we offer at fal:

Interesting and challenging work

A lot of learning and growth opportunities

Health, dental, and vision insurance (US)

Regular team events and offsites

U.S. EQUAL EMPLOYMENT OPPORTUNITY INFORMATION:

fal provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other classification protected by applicable law.